SOTAVerified

Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 1207 papers

TitleStatusHype
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
Perfusion Imaging: A Data Assimilation ApproachCode0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Deep Learning based Spectral CT Imaging—0
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Multi-modal segmentation of 3D brain scans using neural networks—0
A model-guided deep network for limited-angle computed tomographyCode0
Stabilizing Deep Tomographic Reconstruction—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-NetCode0
Show:102550
← PrevPage 35 of 49Next →

No leaderboard results yet.